Earticle

초록

영어

With the rapid development of wireless communication, mobile network, and embedded system technologies, android-based mobile devices show a number of useful functions and then they are attacked by hackers for obtaining some useful information. In this paper, an efficient static anomaly detection framework is shown for android-based mobile phones to improve their security. The proposed framework uses support vector machine to perform the anomaly detection and exploits the cloud computing platform to reduce the impact on android-based mobile phones. Experimental results show that the proposed framework is better than existing anomaly detection frameworks in terms of the detection precision and the detection time.

목차

Abstract
 1. Introduction
 2. Background and Related Work
  2.1. Android Operating System
  2.2. Anomaly Detection Techniques for Mobile Phones
 3. Static Anomaly Detection Framework
  3.1. Overview of Framework
  3.2. Data Extraction Module
 4. Experimental Results
 5. Conclusion
 References

키워드

저자

• Honge Ren [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, China / Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, China ]
• Xiyan Xu [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, China ]
• Jian Zhang [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, China / Forestry Intelligent Equipment Engineering Research Center, Harbin, Heilongjiang, China ]
• Yali Chen [ College of Information and Computer Engineering, Northeast Forestry University, Harbin, Heilongjiang, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605